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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Back test, analyze, rate of return of Indian shares for 20+ years.
...Maximum Profit & Loss of an equity can be estimated between the selected dates.
Designed by Dr. M Kanagasabapathy
Coded in Python
Project Homepage: https://www.enote.page/
Twitter handle: @nifty_analyst
This is the basic version and for advanced options & analyses, please write to me.